Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
452-02-016 / 452-02-016 ISMRM Abstract

A Connectivity Gradient Perspective of Rehabilitation-induced Motor Recovery

Primary: Brain Function and fMRI - fMRI Analysis
Secondary: Neuro - Stroke and Cerebrovascular Disorders
452-02-016 · Methodology: Acquisition and Analysis · Tuesday, 12 May, 1:40 PM–3:16 PM · Power Pitch Theatre 2
452-02-016 · Methodology: Acquisition and Analysis · Tuesday, 12 May, 1:40 PM–3:16 PM · Power Pitch Theatre 2
Keywords: Motor Recovery Neuroimaging Neuroplasticity Functional connectivity gradient Longitudinal analysis
Accepted
Yuming Zhong 1, Sai Kam Hui1,2
1CU Lab of AI in Radiology (CLAIR), Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China
2Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China
Presenting Author: Yuming Zhong

Synopsis

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References

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2. Ntaios G, Gioulekas F, Papavasileiou V, Strbian D, Michel P. ASTRAL, DRAGON and SEDAN scores predict stroke outcome more accurately than physicians. Eur J Neurol. 2016;23(11):1651-1657. doi:10.1111/ene.13100 [doi]
3. Bethlehem RAI, Paquola C, Seidlitz J, et al. Dispersion of functional gradients across the adult lifespan. NeuroImage. 2020;222:117299. doi:10.1016/j.neuroimage.2020.117299 [doi]
4. Dong HM, Margulies DS, Zuo XN, Holmes AJ. Shifting gradients of macroscale cortical organization mark the transition from childhood to adolescence. Proc Natl Acad Sci. 2021;118(28):e2024448118. doi:10.1073/pnas.2024448118 [doi]
5. Luo AC, Sydnor VJ, Pines A, et al. Functional connectivity development along the sensorimotor-association axis enhances the cortical hierarchy. Nat Commun. 2024;15(1):3511. doi:10.1038/s41467-024-47748-w [doi]
6. D’Imperio D, Romeo Z, Maistrello L, et al. Sensorimotor, Attentional, and Neuroanatomical Predictors of Upper Limb Motor Deficits and Rehabilitation Outcome after Stroke. Neural Plast. 2021;2021(1):8845685. doi:10.1155/2021/8845685 [doi]
7. Salvalaggio S, Gambazza S, Andò M, et al. Modeling Upper Limb Rehabilitation-Induced Recovery After Stroke: The Role of Attention as a Clinical Confounder. Phys Ther. 2025;105(2):pzae148. doi:10.1093/ptj/pzae148 [doi]
8. Glasser MF, Smith SM, Marcus DS, et al. The Human Connectome Project’s neuroimaging approach. Nat Neurosci. 2016;19(9):1175-1187. doi:10.1038/nn.4361 [doi]
9. Altieri L, Cocchi D, Roli G. A new approach to spatial entropy measures. Environ Ecol Stat. 2018;25(1):95-110. doi:10.1007/s10651-017-0383-1 [doi]
10. Vos de Wael R, Benkarim O, Paquola C, et al. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Commun Biol. 2020;3(1):103. doi:10.1038/s42003-020-0794-7 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/452-02-016